Process Map Node State Tracking for Objective Progression
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Solution Overview
Problem
Users face challenges in efficiently accessing and analyzing the current status and next steps of a process to achieve a target objective, particularly in complex processes like industrial, educational, or reeducation processes, where prerequisite steps must be completed before others can be undertaken.
Innovation Solution
A method and system for process analysis that utilize a process map with nodes and oriented links, where each node represents an objective and can switch between non-achievable, working-on, and acquired states based on predefined activation thresholds, allowing for visualization of progress and identification of the most demanding objectives, with interactive features to display task lists and progression values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a detailed process map with multiple nodes and oriented links is created to represent complex processes, then the information completeness and analysis capability are improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
The process map is segmented into discrete nodes representing objectives and oriented links representing transitions. Each node can be independently updated with progression values and states, allowing complex processes to be broken down into manageable units that can be analyzed separately while maintaining overall system coherence.
Solution Approach 2:
The patent adds a temporal dimension to the process map by introducing progression values (0-100%) and state transitions (non-achievable → working-on → acquired). This transforms a static structure into a dynamic representation that shows not only the hierarchy of objectives but also the current status and progress of each node over time.
2Measurement precision
If real-time progression tracking is implemented for all nodes, then the measurement precision and productivity are improved, but the use of energy and computational resources increase
Solution Approach 1:
Instead of uniformly processing all nodes, the system applies different treatment based on local characteristics. Nodes are categorized into three states (non-achievable, working-on, acquired) and only nodes in the 'working-on' state with progression values below their activation thresholds are actively updated and displayed. This local differentiation reduces unnecessary computational overhead.
Solution Approach 2:
The system implements partial action by not continuously updating all nodes simultaneously. Instead, it selectively updates nodes based on their current state and progression value relative to activation thresholds. This partial updating approach provides sufficient information for decision-making without the excessive computational cost of universal real-time tracking.
3Reliability
If activation thresholds are set for oriented links to control progression, then the reliability and process control are improved, but the device complexity increases
Solution Approach 1:
Activation thresholds for oriented links are predetermined and configured in advance based on the process requirements. This preliminary setup establishes clear criteria for when transitions between nodes should occur, ensuring reliable process control without requiring complex real-time decision-making. The thresholds act as pre-defined gates that automatically control progression.
Solution Approach 2:
The system continuously compares the progression value of each node against the activation threshold of its outgoing oriented links. This feedback mechanism automatically determines whether a node should transition to the next state, providing reliable process control through systematic comparison and state adjustment based on current progress levels.
Data Source
AI summary
A method for process analysis, where the process includes at least one succession of steps associated to objectives to be achieved to obtain the target objective. The steps include receiving a process map, receiving a progression value of each node of the process map and the state of each node of the process map, updating the process map for each node.